Earlier Web Usage Statistics as Predictors of Later Citation Impact
Brody, Tim, Harnad, Stevan and Carr, Les (2006) Earlier Web Usage Statistics as Predictors of Later Citation Impact. Journal of the American Association for Information Science and Technology (JASIST), 57, (8), 1060-1072.
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Abstract: The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly accessed through the Web, the number of times an article is downloaded can be instantly recorded and counted. One would expect the number of times an article is read to be related both to the number of times it is cited and to how old the article is. This paper analyses how short-term Web usage impact predicts medium-term citation impact. The physics e-print archive -- arXiv.org -- is used to test this.
|Additional Information:||DOI: 10.1002/asi.20373|
|Keywords:||open access, research impact, self-archiving, journal publication, downloads, citations|
|Divisions :||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Accepted Date and Publication Date:||
|Date Deposited:||18 May 2005|
|Last Modified:||31 Mar 2016 14:02|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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Earlier Web Usage Statistics as Predictors of Later Citation Impact. (deposited 05 Mar 2005)
- Earlier Web Usage Statistics as Predictors of Later Citation Impact. (deposited 18 May 2005) [Currently Displayed]
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